Mobility models-based performance evaluation of the history based prediction for routing protocol for infrastructure-less opportunistic networks

Abstract

In Opportunistic Networks (OppNets), the sender and receiver of a packet are not assumed to be connected with each other through an end-to-end continuous path. They exploit the contact opportunity that arises between the nodes due to their mobility to pass the messages from one place to another in the network. They do not rely on any pre-existing topology; rather they belong to a dynamic network topology. In this paper, the performance of our recently proposed History-Based Prediction for Routing protocol for infrastructure-less OppNets (so-called HBPR) is evaluated on two different mobility models the Random Waypoint (RWP) and the Custom Human Mobility Model (CHMM). The HBPR protocol is evaluated against four performance metrics, namely, the number of messages delivered, the overhead ratio, the average hop count, and the average latency. Simulation results show a significant decline in the performance of HBPR for the RWP model compared to the CHMM model.